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Rough EL Classification

Rafael Peñaloza, Tingting Zou
2013 International Workshop on Description Logics  
However, applying such a reduction to rough EL yields an exponential time upper bound.  ...  We show that this blow-up in complexity can be avoided, providing a polynomial-time completion-based algorithm for classifying rough EL ontologies.  ...  Rough EL The logic rough EL extends classical EL by allowing the lower approximation and upper approximation constructors • and • for expressing rough concepts.  ... 
dblp:conf/dlog/PenalozaZ13 fatcat:dzsmh6l4zvdjddxz2n4msd6r6y

Biological Knowledge Integration in DNA Microarray Gene Expression Classification Based on Rough Set Theory [chapter]

D. Calvo-Dmgz, J. F. Galvez, Daniel Glez-Peña, Florentino Fdez-Riverola
2012 Advances in Intelligent and Soft Computing  
This work integrates explicit biological knowledge in classification process using Rough Set Theory, making it more effective.  ...  The third step is to select the most relevant supergenes using the criterion of maximum β-relevance, supported by Rough Set Theory.  ...  Classification based on rough set theory On the other hand, there are some publications that seek to apply rough set theory to improve classification techniques on DNA microarray.  ... 
doi:10.1007/978-3-642-28839-5_6 dblp:conf/pacbb/Calvo-DmgzGGF12 fatcat:jugadjdtdzgipkidiq4jyl3dwa

Generated rules for AIDS and e-learning classifier using rough set approach

Sarina Sulaiman, Nor Amalina Abdul Rahim, Andri Pranolo
2016 IJAIN (International Journal of Advances in Intelligent Informatics)  
The work focused on Rough Set (RS) to deal with incomplete data and rules derivation.  ...  The model was tested on AIDS blog data set consisting of 146 bloggers and E-Learning@UTM (EL) log data set comprising 23105 URLs. 5-fold and 10-fold cross validation were used to split the data.  ...  Fig. 2 . 2 Rough Set classification modeling by et. al.  ... 
doi:10.26555/ijain.v2i2.74 fatcat:dxqa2mmzqnavpc73g3g4r5nrra

Hybrid Segmentation and Feature Extraction Approach to Detect Tumour Based on Fuzzy Rough-in Mammogram Images

M Punitha, K Perumal
2019 Procedia Computer Science  
In this paper, we introduce the tumor classification method in mammogram images by using Fuzzy rough set theory (FRST) and it offers an accurate approach of texture and feature extraction.  ...  In this paper, we introduce the tumor classification method in mammogram images by using Fuzzy rough set theory (FRST) and it offers an accurate approach of texture and feature extraction.  ...  El idrisi el kaitouri [11] worked automatic tumour detection methods. El moulfid [12] focused on the region of interest in an image.  ... 
doi:10.1016/j.procs.2020.01.009 fatcat:y2yzwawfdfdbhc5sw6u4yex2sm


Shubo Zhong
2021 Revista Brasileira de Medicina do Esporte  
Results: The feature strength and the division accuracy of the rough set decision algorithm all showed good accuracy.  ...  Based on the rough set decision algorithm, JMA and MD models were constructed, and a motion data decision table was established.  ...  Decision tree is an effective data classification method. The existence of rough set theory links knowledge and classification very closely.  ... 
doi:10.1590/1517-8692202127042021_0121 fatcat:xo27k5majvbdvi3xw4mgs47hfq

Mapping El Harrach (Algeria) into Local Climate Zones by GIS Methods

Asma Bouattou, Aissa Mahimoud, Alkama Djamel
2022 International journal of innovative studies in sociology and humanities  
Thus, within the framework of this study, we will test the adaptability of this approach on El Harrach.  ...  This study aims to classify the El Harrachblocks, by applying the "Local Climate Zones" approach, and using the Geographic Information System (GIS) methods.  ...  Davenport classification of effective terrain roughness (Davenport, 2000) .  ... 
doi:10.20431/2456-4931.0706001 fatcat:5petrl6mknfntdad3xdgu3d66a

Meaningless to meaningful Web log data for generation of Web pre-caching decision rules using Rough Set

Sarina Sulaiman, Siti Mariyam Shamsuddin, Nor Bahiah Ahmad, Ajith Abraham
2012 2012 4th Conference on Data Mining and Optimization (DMO)  
Consequently, Rough Set is chosen in this research to generate Web pre-caching decision rules to ensure the meaningless Web log data can be changed to meaningful information.  ...  Figure 4 .Figure 5 . 45 Classification of BU objects into three classes Classification of EL objects into three classes Next,Tables 6 and 7show the overall result of classification performance of fold  ...  The overall classification accuracy (C) is based on the total of the average of each prediction accuracy (P) and total number of fold ( Figure 6 . 6 Overall classification accuracy for both BU and EL  ... 
doi:10.1109/dmo.2012.6329804 dblp:conf/dmo/SulaimanSAA12 fatcat:tcyzfxznjvfeniytfnot54lod4

A rough set approach to attribute generalization in data mining

Chien-Chung Chan
1998 Information Sciences  
This issue is resolved by using the inductive learning algorithm, LERS based on rough set theory.  ...  The results can be used to implement a quasi-incremental algorithm for learning classification rules from very large data bases generalized by dynamic conceptual hierarchies provided by users.  ...  Some data mining tasks from the rough sets perspective have been discussed in [3] . Our focus here is on the task of generating classification rules from data.  ... 
doi:10.1016/s0020-0255(97)10047-0 fatcat:2qhyag42erejrotgeocdgl7z6u

The parameterization reduction of soft sets and its applications

Degang Chen, E.C.C. Tsang, Daniel S. Yeung, Xizhao Wang
2005 Computers and Mathematics with Applications  
However, in rough set theory the attributes reduction is designed to keep the classification ability of conditional attributes relative to the decision attributes.  ...  However, the attributes reduction in rough set theory is designed to find a minimal attributes set that retains the classification ability of the indiscernibility relation.  ... 
doi:10.1016/j.camwa.2004.10.036 fatcat:ng5xduzkbbhpjmj7s26cbtpugi

Chinese Character Classification Based on Rough Set and SVM Algorithm1

Jinsong Fan, Tingjian Fang
2000 IAPR International Workshop on Machine Vision Applications  
The fust step is classified roughlv with Rough Set, rule should be induced in this step by infonilation system.  ...  In the paper, we present a integrated approach combined Rough Set theory and SVM algorithm. The approach udl be divided into two steps.  ...  The weakness of rough set is appeared w l m the ratio of classification is highly required.  ... 
dblp:conf/mva/FanF00 fatcat:lriyqtynsveyxdmhvonaj4zcgq

Comparison of Performance for Intrusion Detection System Using Different Rules of Classification [chapter]

Nandita Sengupta, Jaya Sil
2011 Communications in Computer and Information Science  
Classifier is built based on rules of decision table, conjunctive rule, OneR, PART, JRip, NNge, ZeroR, BayesNet, Ridor from WEKA and using rough set theory.  ...  In the work classification performance using rules obtained by different methods are applied on network traffic and compared.  ...  Rough Set Theory (RST) [2] is based on mathematical concept can handle vagueness in classification of data.  ... 
doi:10.1007/978-3-642-22786-8_11 fatcat:ymxlwf3gbrhytb73zpuh36hdvu

Geotechnology applied to land classification in areas of the Atlantic Forest in southeastern Brazil

Nivaldo Schultz, Kellis Fernanda Amancio Moreira, Isabela Beatriz Pereira da Cruz, Pedro Araújo Garcia, Luiz Carlos de Souza Filho, Helena Saraiva Koenow Pinheiro, Otavio Augusto Queiroz dos Santos, Marcos Gervasio Pereira
2021 Research, Society and Development  
The theoretical basis of the Manual for Utilitarian Survey and Classification of Land in the Use Capacity System with adaptations for areas of rough relief was adopted.  ...  Land classification land with the use capacity system promotes optimization in the use of areas with agricultural areas and preservation of those destined for conservation.  ...  In regions of rough relief, the slope outweighs the parameters effective depth, texture, permeability, erosion and fertility for the classification of lands in the use capacity system and should be adopted  ... 
doi:10.33448/rsd-v10i6.15927 fatcat:2m5ho4rxufgc7hctyby6xfsqvy

Vocal Fold Leukoplakia: Which of the Classifications of White Light and Narrow Band Imaging Most Accurately Predicts Laryngeal Cancer Transformation? Proposition for a Diagnostic Algorithm

Wioletta Pietruszewska, Joanna Morawska, Oskar Rosiak, Agata Leduchowska, Hanna Klimza, Małgorzata Wierzbicka
2021 Cancers  
The results of WLI acc. to the two-tier and the three-tier Chen 2019 classifications and NBI classifications: ELS, Ni 2011, and Ni 2019 with different cut-off points were compared with the pathological  ...  The most accurate predictor of VFL malignant transformation in WLI is type 3 according to the Chen 2019 classification, while in NBI type V and VI according to the Ni 2019 classification.  ...  Comparing the ELS classification with both classifications by Ni, the ELS interrater agreement kappa value of 0.57 can be interpreted as moderate, while results obtained using both Ni classifications (  ... 
doi:10.3390/cancers13133273 pmid:34208811 pmcid:PMC8268866 fatcat:xfnw4o3ua5eblkfcmww3znu6kq


2018 Al-Azhar Bulletin of Science  
The highest GWP zone was defined along Wadi El-Awaj, the northern part of Wadi Araba, and near the outlets of several wadies south of El-Tour City.  ...  These layers include elevation, slope, curvature, drainage density, topographic wetness index, surface roughness, frequency of thermal anomaly, accumulated precipitation, Land Use/Land Cover (LULC) and  ...  classes: very rough, rough, medium, fine and very fine materials (Fig. 4B ).  ... 
doi:10.21608/absb.2018.60534 fatcat:quqamhyavrdgbohr4oo6f4ei6a

A Breast Cancer Diagnosis System: A Combined Approach Using Rough Sets and Probabilistic Neural Networks

K. Revett, F. Gorunescu, M. Gorunescu, E. El-Darzi, M. Ene
2005 EUROCON 2005 - The International Conference on "Computer as a Tool"  
Our results indicate that rough sets was able to reduce the number of attributes in the dataset by 67% without sacrificing classification accuracy.  ...  Our classification accuracy results yielded results on the order of 93%.  ...  El-Darzi is with the Harrow School of Computer Science, University 44-2079115609; e-mail: F.  ... 
doi:10.1109/eurcon.2005.1630149 fatcat:mhwlkybos5e4tamehascr3rsxa
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